I read and shared your paper and GitHub link with the rest of my data science team here at Microsoft Azure--we do a lot of hypothesis testing of this nature in

I read and shared your paper and GitHub link with the rest of my data science team here at Microsoft Azure--we do a lot of hypothesis testing of this nature in our day-to-day work (using R or Python) and a tool like Tea would go a long way in helping us apply stats tests more efficiently and thoroughly. Good to know that you're planning to continue development, we'll be following with interest! Some other areas to potentially explore could be support for power analysis, sequential analysis and stopping rules, for use in the pre-trial phase of controlled experiments such as A/B tests. I'd also suggest adding a LICENSE file to your project to clarify how it's allowed to be used.